Skip to content

README.md

Latest commit

 

History

History
21 lines (17 loc) · 1.31 KB

README.md

File metadata and controls

21 lines (17 loc) · 1.31 KB

MedsynBackend

This Repository contains the backend Server for the generative AI extension of the OHIF viewer. See https://github.com/TomWartm/Viewers for help.

Model Weights

For model weights see in google drive: Generative AI in Radiology > MedSyn Model Parameter > MedSyn or in https://github.com/batmanlab/MedSyn

Run

  1. Clone this repository (on a machine with large GPU RAM)
    • git clone https://github.com/TomWartm/MedsynBackend
  2. Navigate to the cloned project's directory
  3. Install required python packages conda env create --file environment.yml
  4. Actiave environment conda activate medsyn-3-8
  5. Navigate to src folder
  6. Run flask server python app.py

Network configurations

  • This is deplloyed using nginx and flask.
  • To see the status of the nginx, sudo systemctl status nginx and to see the status of the flask app sudo systemctl status flask_app
  • To modify the flask app configurations go to /etc/systemd/system/flask_app.service
  • To run the gunicorn setup not through flask and nginx, you should first stop the fllask_app sudo systemctl stop flask_app then go to ~/MedsynBackend/src/, activate the medsyn-3-8 conda environment if it's not activated then run this command /home/exouser/miniconda3/envs/medsyn-3-8/bin/gunicorn --workers 1 --bind 0.0.0.0:5000 app:app